The Global Race to Build Smarter Cities

Explore how AI, sensors, digital twins, smart mobility and data are transforming cities around the world.

Cities are becoming increasingly dependent on technology.

From public transportation and energy systems to healthcare, waste management and emergency response, governments are using digital tools to make urban environments more efficient and responsive.

This has created a global race to develop what are commonly called smart cities.

But a smart city is not simply a city filled with sensors and futuristic buildings.

The more useful definition is a city that uses technology, data and digital infrastructure to improve the lives of residents.

The OECD describes smart cities as urban environments that use digital technologies to improve well-being, public services and sustainability, while warning that poorly designed digitalization can deepen inequality and create privacy and transparency risks.

Why Cities Need to Get Smarter

Urban populations are growing.

UN-Habitat's Future Cities Advisory Outlook notes that another 2.3 billion people are expected to live in cities by 2050, placing increasing pressure on housing, transportation, energy and other urban systems.

Cities therefore face a difficult challenge.

They need to serve more people while dealing with:

Traffic

Pollution

Energy demand

Housing pressure

Waste

Climate risks

Infrastructure

Public safety

Healthcare

Water management

Technology offers tools for addressing some of these problems.

Sensors Give Cities More Information

Smart cities depend heavily on data.

Sensors can monitor:

Traffic

Air quality

Energy consumption

Water systems

Public transport

Street lighting

Parking

Waste collection

Building conditions

The goal is not simply to collect information.

The data needs to help authorities make better decisions.

Singapore, for example, describes its smart-city approach as combining data, sensors and automation to create a more connected, efficient and sustainable urban environment.

Artificial Intelligence Can Help Cities Predict Problems

AI can analyze large volumes of urban data.

Potential applications include:

Traffic prediction

Energy management

Public-safety analysis

Infrastructure monitoring

Demand forecasting

Emergency response

Urban planning

The benefit is that systems can potentially identify patterns before problems become severe.

UN-Habitat's work on AI and cities highlights applications across urban development while emphasizing the need for appropriate governance and protection of human rights.

Smart Transportation

Transportation is one of the most visible smart-city applications.

Cities can use technology to manage:

Traffic lights

Public buses

Rail systems

Parking

Road congestion

Vehicle routing

Pedestrian movement

Electric vehicles

In advanced systems, traffic signals can respond to real-time conditions rather than operating only according to fixed schedules.

Autonomous vehicles are also becoming part of some cities' long-term transportation strategies.

Singapore's 2026 technology plans include progressively scaling autonomous vehicles as part of efforts to meet transportation needs.

Digital Twins Create Virtual Versions of Cities

One of the more advanced concepts in smart-city development is the digital twin.

A digital twin creates a digital representation of physical infrastructure or urban systems.

It can potentially allow planners to explore:

Traffic scenarios

Building development

Energy use

Infrastructure projects

Emergency situations

Urban design

Instead of experimenting entirely in the physical world, planners can use digital models to test possible changes.

Research into generative AI and urban digital twins is exploring applications involving transportation, energy, buildings and urban design.

Smart Energy Systems

Energy is another important part of the smart-city race.

Cities can use digital technology to monitor demand and optimize:

Buildings

Street lighting

Cooling

Electricity distribution

Renewable energy

Storage

Charging infrastructure

Singapore's GovTech describes its smart-city infrastructure as a "digital nervous system" using AIoT, predictive analytics and sensors to make urban infrastructure more responsive.

Smart Buildings

Buildings consume significant amounts of energy.

Smart-building systems can monitor:

Temperature

Lighting

Air quality

Occupancy

Energy consumption

Equipment performance

Automation can then adjust systems according to actual usage.

For example, a building may reduce cooling or lighting in unused areas rather than maintaining the same settings throughout the day.

Digital Government

A smart city also requires smart public services.

Residents may increasingly interact with government through:

Mobile applications

Digital identity

Online permits

Digital payments

Public-service portals

Automated notifications

Online consultations

The goal is to make government services easier to access.

Singapore's digital-government strategy emphasizes secure and interoperable infrastructure designed around citizen and business services.

Seoul Is Pushing AI Into City Life

Seoul provides a useful example of how the concept is evolving.

The city published a 2026–2030 smart-city and information plan centered on AI, with goals covering green mobility, inclusion, resilience and global competitiveness.

Seoul also announced Smart Life Week 2026 as an international showcase for AI, robotics, mobility and smart-city technologies, with hundreds of cities and companies participating.

This demonstrates how city competition is increasingly becoming a competition around digital capability.

Singapore's Long-Term Smart Nation Strategy

Singapore has been developing its Smart Nation strategy for more than a decade.

Its Smart Nation initiative began in 2014, and Smart Nation 2.0 emphasizes trust, growth and community.

The city-state has also ranked highly in international digital-competitiveness and smart-city measurements; Singapore's government reports that it placed first in the 2026 IMD World Digital Competitiveness Ranking and ninth in the 2026 IMD Smart City Index.

Rather than treating smart-city technology as one isolated project, Singapore has developed a broader digital infrastructure strategy.

Smart Cities Need Human-Centered Design

Technology by itself does not make a city smarter.

A city could have thousands of sensors and still provide poor public services.

That is why the human element matters.

UN-Habitat's people-centered smart-city framework argues that digital transformation should prioritize inclusion, privacy, participation and human rights.

The question should always be:

Does this technology improve people's lives?

The Digital Divide Is a Major Challenge

Not every resident has equal access to technology.

Some people may have:

Fast internet

Modern smartphones

Digital skills

Access to online services

Others may have limited connectivity or difficulty using digital systems.

A city that moves too many services online without alternatives could unintentionally exclude vulnerable residents.

Smart-city planning therefore needs to address digital inclusion.

Privacy and Surveillance

More sensors mean more data.

That creates legitimate concerns about privacy.

Cities may collect information from:

Cameras

Transportation systems

Mobile applications

Public Wi-Fi

Connected infrastructure

Biometric systems

This information can improve services, but it can also create risks when poorly governed.

UN-Habitat has specifically warned about surveillance, discrimination through automated decision-making, insufficient oversight and human-rights concerns in smart-city development.

Cybersecurity Becomes Critical

A connected city can also create a larger cybersecurity target.

Imagine disruptions to:

Traffic systems

Water infrastructure

Energy networks

Public transportation

Government services

Emergency communications

The more urban infrastructure becomes connected, the more important cybersecurity becomes.

Smart-city strategies therefore need resilience, not just connectivity.

AI Requires Governance

AI can improve urban management, but cities need to understand its limitations.

Automated systems can produce errors.

Data can be incomplete.

Models can reflect biases.

Decisions may become difficult to explain.

That is why governance should develop alongside technology.

The OECD emphasizes that smart-city digitalization involves trade-offs and that cities need approaches that combine innovation with inclusion and public well-being.

Climate Change Is Increasing the Need for Smart Infrastructure

Smart-city technology is also being connected with climate resilience.

Cities can use technology to monitor:

Flood risks

Heat

Energy consumption

Water use

Air quality

Waste

Transport emissions

UN-Habitat's 2026–2029 strategic approach identifies smart-city digitalization as an accelerator for sustainable urbanization, climate action and more resilient communities.

Data Centers Create a New Urban Challenge

The AI boom is also creating unexpected pressures on cities.

Artificial-intelligence infrastructure depends heavily on data centers, which consume electricity and water.

In 2026, mayors from dozens of global cities began collaborating on ways to address the urban impact of rapidly expanding data-center infrastructure, particularly its demands on energy and water.

This creates an interesting paradox.

Technology may help cities become more efficient while the infrastructure required to power that technology can create new environmental pressures.

The Future City Will Be Connected

The smart cities of the future are likely to combine:

AI

5G and future networks

Sensors

Robotics

Autonomous transport

Digital twins

Cloud computing

Renewable energy

Smart buildings

Digital government

Connected infrastructure

But technology will only be one part of the equation.

Urban planning, housing, public policy and community participation remain equally important.

Final Thoughts

The global race to build smarter cities is really a race to solve urban problems more effectively.

Singapore is using sensors, automation and digital government to create more responsive services. Seoul is pushing AI, robotics and smart mobility into its urban strategy. UN-Habitat and the OECD are emphasizing that smart-city development must remain focused on people, inclusion, sustainability and responsible technology.

The smartest city will not necessarily be the one with the most advanced technology.

It will be the one that uses technology intelligently while ensuring that residents remain at the center of urban development.

Tags: Smart Cities, Technology, Urban Innovation